A hybrid algorithm based on particle swarm and chemical reaction optimization for multi-object problems

Li, Zhiyong; Nguyen, Tien Trong; Chen, ShaoMiao; Truong, Tung Khac

doi:10.1016/j.asoc.2015.06.036

Cited by 26 publications

(10 citation statements)

References 33 publications

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“…The CRO algorithm is inefficient at exploration (global search) and PSO often quickly stuck into the local minima. Therefore, the HP-CRO algorithm was recently developed by taking advantage of the compensatory property of CRO and PSO and proven to be effective for optimization problems (Li et al 2015;Nguyen et al 2014;Zhang and Duan 2014). Hence, we have employed this recent HP-CRO algorithm to solve the formulated MINLP model.…”

Section: Solution Approachmentioning

confidence: 99%

An MINLP model to support the movement and storage decisions of the Indian food grain supply chain

Mogale

Kumar

Tiwari

2018

Control Engineering Practice

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2018. An MINLP model to support the movement and storage decisions of the Indian food grain supply chain. Control Engineering Practice 70 , pp. Abstract:This paper addresses the novel three stage food grain distribution problem of Public Distribution System (PDS) in India which comprises of farmers, procurement centers, base silos and field silos. The Indian food grain supply chain consists of various activities such as procurement, storage, transportation and distribution of food grain. In order to curb transportation and storage losses of food grain, the Food Corporation of India (FCI) is moving towards the modernized bulk food grain supply chain system. This paper develops a Mixed Integer Non-Linear Programming (MINLP) model for planning the movement and storage of food grain from surplus states to deficit states considering the seasonal procurement, silo capacity, demand satisfaction and vehicle capacity constraints. The objective function of the model seeks to minimize the bulk food grain transportation, inventory holding, and operational cost. Therein, shipment cost contains the fixed and variable cost, inventory holding and operational cost considered at the procurement centers and base silos. The developed mathematical model is computationally complex in nature due to nonlinearity, the presence of numerous binary and integer variables along with a huge number of constraints, thus, it is very difficult to solve it using exact methods. Therefore, recently developed, Hybrid Particle-Chemical Reaction Optimization (HP-CRO) algorithm has been employed to solve the MINLP model. Different problem instances with growing complexities are solved using HP-CRO and the results are compared with basic Chemical Reaction Optimization (CRO) and Particle Swarm Optimization (PSO) algorithms. The results of computational experiments illustrate that the HP-CRO algorithm is competent enough to obtain the better quality solutions within reasonable computational time.

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Section: Solution Approachmentioning

confidence: 99%

An MINLP model to support the movement and storage decisions of the Indian food grain supply chain

Mogale

Kumar

Tiwari

2018

Control Engineering Practice

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“…Several researchers such as Roy et al (2014) and Li et al (2014) proposed the hybridization of chemical reaction optimization algorithm in their paper with differential evolution and variable neighborhood search respectively. CRO has been widely used to resolve multi-objective problems and Li et al (2015) presented a hybrid algorithm combining particle swarm optimization with CRO for multi-objective optimization. Bhattacharjee et al (2014) provided a real coded version of chemical reaction optimization algorithm and validated with several existing optimization techniques to justify the superiority of the algorithm in terms of solution quality and computational efficiency.…”

Section: Solution Approachesmentioning

confidence: 99%

A hybrid dynamic berth allocation planning problem with fuel costs considerations for container terminal port using chemical reaction optimization approach

Pratap

Kumar

et al. 2018

Ann Oper Res

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This paper investigates the dynamic ship berth allocation problem for a container handling port, focusing on vessel waiting time at the anchorage due to the unavailability of the berth and quay cranes. A mixed integer linear programming model (MINLP) considering the fuel cost associated with waiting time and operational time of the docked vessel is developed. The hiring of the quay cranes to load/unload the containers from the ship and arrangement of the vessels in different berths is taken into account. Fuel consumed by the vessels while performing their respective port operations is incorporated in the model for addressing the sustainability aspects in berth allocation problem. A Chemical Reaction Optimization Algorithm (CRO) is proposed to solve the problem in a large-scale realistic environment and compared with the results with Block-Based Genetic Algorithm (BBGA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The computational experiment illustrates and validates the proposed model on a real case scenario of the port located in India. The case shows that the developed model achieves better utilization of port resources and available berths.

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“…where , , and are the velocity, position, and iteration best position in the d -th element of the i -th particle, respectively. Li et al [ 56 ] use a hybrid PSO-CRO algorithm for multi-object optimisation problems. The proposed algorithm balances the operators of CRO and PSO while exploring the search space effectively.…”

Section: Variants Of Cromentioning

confidence: 99%

Nature-Inspired Chemical Reaction Optimisation Algorithms

Siddique

Adeli

2017

Cogn Comput

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Nature-inspired meta-heuristic algorithms have dominated the scientific literature in the areas of machine learning and cognitive computing paradigm in the last three decades. Chemical reaction optimisation (CRO) is a population-based meta-heuristic algorithm based on the principles of chemical reaction. A chemical reaction is seen as a process of transforming the reactants (or molecules) through a sequence of reactions into products. This process of transformation is implemented in the CRO algorithm to solve optimisation problems. This article starts with an overview of the chemical reactions and how it is applied to the optimisation problem. A review of CRO and its variants is presented in the paper. Guidelines from the literature on the effective choice of CRO parameters for solution of optimisation problems are summarised.

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A hybrid algorithm based on particle swarm and chemical reaction optimization for multi-object problems

Cited by 26 publications

References 33 publications

An MINLP model to support the movement and storage decisions of the Indian food grain supply chain

An MINLP model to support the movement and storage decisions of the Indian food grain supply chain

A hybrid dynamic berth allocation planning problem with fuel costs considerations for container terminal port using chemical reaction optimization approach

Nature-Inspired Chemical Reaction Optimisation Algorithms

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